Scheduling and Power Control for Wireless Multicast Systems via Deep Reinforcement Learning †

Multicasting in wireless systems is a natural way to exploit the redundancy in user requests in a content centric network. Power control and optimal scheduling can significantly improve the wireless multicast network’s performance under fading. However, the model-based approaches for power control a...

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Detalles Bibliográficos
Autores principales: Raghu, Ramkumar, Panju, Mahadesh, Aggarwal, Vaneet, Sharma, Vinod
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700614/
https://www.ncbi.nlm.nih.gov/pubmed/34945861
http://dx.doi.org/10.3390/e23121555

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700614/
https://www.ncbi.nlm.nih.gov/pubmed/34945861
http://dx.doi.org/10.3390/e23121555

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